Recent
years have witnessed rapid advances in the areas of Business Process
Reengineering(BPR) and Software Engineering. In order for BPR to work,
successful deployment of Information Technology is imperative, with the ...

The quantitative analysis of illicit materials using Raman spectroscopy is of widespread interest for law enforcement and healthcare applications. One of the difficulties faced when analysing illicit mixtures is the ...

In system dynamics (SD), complex nonlinear systems can generate a wide range of possible behaviours that frequently require search and optimization algorithms in order to explore optimal policies. Within the SD literature, ...

In this paper we discuss the use of modern information and communication technologies for distance education (DE) purposes. We argue that current technologies and implementations do not adequately support the key concepts ...

Petri nets are a valuable tool that can be used to simulate workflow systems. They are
based on a state-transition approach, and in common with discrete event simulation,
events can be scheduled to fire at different time ...

This paper describes an application of data mining techniques to the analysis of student academic records, collected at Limerick Institute of Technology, with the goal of acquiring clearer, evidence-based ...

Digital elevation models (DEM) are crucial data products for a variety of geographic applications, and their generation directly from digitized stereopairs of vertical aerial photographs has recently been accomplished. ...

The classi¿cation of high dimensional data, such as images, gene-expression data and spectral data, poses an interesting challenge to machine learning, as the presence of high numbers of redundant or highly correlated ...

In face-to-face work, discussion and negotiation relies strongly on non-verbal feedback, which provides important clues to negotiation states such as agreement/disagreement and understanding/confusion, as well as indicating ...

Within system dynamics, optimization has played an important role in identifying the best range of parameter values for policies in any given model. Optimal solutions focus on discovering the best combination of model ...

k-Nearest Neighbours (k-NN) is a well understood and widely-used approach to classification and regression problems. In many cases, such applications of k-NN employ the standard Euclidean distance metric for the determination ...

Abstract. Kernel-based learning presents a unified approach to machine learning problems such as classification and regression. The selection of a kernel and associated parameters is a critical step in the application of ...

This paper discusses the use of a Genetic Algorithm (GA) to evolve waypoint-based racing lines for computer-controlled cars in an online game. One goal is the reduction of developer effort, in order to automatically produce ...

Interactions such as discussion and negotiation in face-to-face work contexts strongly rely on non-verbal feedback. Such feedback provides indications of important negotiation states such as agreement or disagreement and ...

Despite the potential offered by modern computer technology to the labour-intensive work of 'Aerial Archaeology', few applications have been published. Where developments have been made, they have tended to be carried out ...

Abstract. The Support Vector Machine (SVM) has emerged in recent years as a popular approach to the classi¿cation of data. One problem that faces the user of an SVM is how to choose a kernel and the speci¿c parameters for ...

We are experiencing a radical shift in the way organizations are designed, structured, and organized. New organizational forms such as virtual strategic partnerships and networks are replacing traditional bureaucratic, ...